Titlebook: Soft Computing in Industrial Applications; Yukinori Suzuki,Seppo Ovaska,Yasuhiko Dote Conference proceedings 2000 Springer-Verlag London L

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Discussion of Reliability Criterion for US Dollar Classification by LVQion is represented as recognition rate of sample data. However, classifying a bill money, we must evaluate the accuracy more strictly. In the pattern recognition, a Neural Network (NN) is studied and its ability is highly estimated. Among NNs a competitive NN has a simple structure and can be analyz

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Facility Location Using Neural Networksassignment problem is an example within this class of problems. This paper presents a new self-organizing approach to solve quadratic assignment problems. Our neural approach uses neuron normalization as well as a conscience mechanism to consistently find good feasible solutions. To test our neural

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Discussion of Reliability Criterion for US Dollar Classification by LVQty criterion based on a probability distribution for the classification by the LVQ method. Then we classify the US dollar by the LVQ and apply the reliability criterion to the classification. We show that the proposed method of bill money classification has higher accuracy.

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Fuzzy Logic Two-phase Traffic Signal Control for Coordinated One-way Streets This study was our first attempt to use fuzzy methods in coordinated traffic signals. The results were promising. All previous results of FUSICO-project have indicated better overall efficiency than traditional vehicle-actuated control.

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Conference proceedings 2000oft computing is a new form of artificial intelligence and it consists of four core methodologies: Fuzzy Computing, Neuro Computing, Evolutionary Computation, and Probabilistic Computing. These individual techniques are clearly complementary or synergistic rather than competitive. Therefore, it is a